AI and pharma are colliding. And so we did a deep dive on all the deals that have been done between these two camps and what all this means. Tremendous insights here from @joliegans corememory.com/p/pharmas-spu…

founder phenotype observations - in the bay area hiring the right people is probably the hardest problem, as opposed to raising. And generally founders that do well seem to lead by actions, they have a long history of dedicated problem solving in one field. And attract others like themselves. The promise of future wealth can be an incentive but it doesn’t attract the most faithful or purposeful people..

I left SpaceX a little while ago to spend more time with our new baby and family. I’m really proud of the Swarm and Direct to Cell (DTC) teams for going from a clean sheet design to commercial start with many hundreds of satellites in orbit serving users on 6 continents with text and data directly to their unmodified phones. It still seems like magic that we can text family and friends through the DTC sats traveling at Mach 23 at a 700 km slant distance directly through the worst part of a hurricane. I’m excited for the world to experience what is coming in the next generation of DTC, it will be really special. I was also given a shot to re-design the satellite Hall thruster with a small focused team. We made Argon propellant viable, and in fact made it more efficient and higher Isp than all previous Krypton or Xenon flight Hall thrusters, and did so with about 10x fewer parts. There are still many plasma physics secrets to be unlocked for future thruster generations. The engineering talent density, dedication, and speed at SpaceX are the highest in the world and it was fun to work alongside so much raw horsepower. I am very grateful to @elonmusk and @Gwynne_Shotwell for treating us so well at every turn, taking a chance on our team, and trusting us to build such a big project. Obviously this is only the beginning for @SpaceX as Elon and the team continue to expand humanity’s presence to the Moon, Mars, and further along the Kardashev scale.

A major additional factor should be considered. Satellites with localized AI compute, where just the results are beamed back from low-latency, sun-synchronous orbit, will be the lowest cost way to generate AI bitstreams in <3 years. And by far the fastest way to scale within 4 years, because easy sources of electrical power are already hard to find on Earth. 1 megaton/year of satellites with 100kW per satellite yields 100GW of AI added per year with no operating or maintenance cost, connecting via high-bandwidth lasers to the Starlink constellation. The level beyond that is constructing satellite factories on the Moon and using a mass driver (electromagnetic railgun) to accelerate AI satellites to lunar escape velocity without the need for rockets. That scales to >100TW/year of AI and enables non-trivial progress towards becoming a Kardashev II civilization.

Today we're announcing a second, larger collaboration with @TakedaPharma — deploying our integrated AI wet-lab platform broadly across their portfolio to design antibodies, multispecifics, and other next-generation biologics. It’s been incredibly fun working with the Takeda team to create new medicines. Looking forward to doing a lot more of that together.

Today we're announcing a second, larger collaboration with @TakedaPharma — deploying our integrated AI wet-lab platform broadly across their portfolio to design antibodies, multispecifics, and other next-generation biologics. It’s been incredibly fun working with the Takeda team to create new medicines. Looking forward to doing a lot more of that together.

Creation without a creator is meaningless.

Ambition is social. And unlocking breakthroughs requires exceptional talent willing to think differently. Which is why we want to bring more peer groups for ambitious, counterintuitive thinking into existence. Today we're launching a call for @ARIA_research Innovator Circles🧵